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Development of Information System for Monitoring the Rate of Digital Currency for Investing

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Artificial Intelligence Trends in Systems (CSOC 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 502))

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Abstract

The changes currently taking place in the world economy stimulate the emergence of new software tools for evaluating and analyzing financial investments. While investments are aimed at obtaining profit by the investor, they are not a guaranteed way to receive it. Different ways of investing provide different guarantees of income, but in all cases there is a risk that instead of profit, the investor will receive a loss. Therefore, the development of investment software that allows you to analyze and evaluate the growth or fall in the value of digital assets is an urgent issue. The computer system under consideration is designed to monitor and analyze the cryptocurrency exchange rate in real time. The purpose of the work is to describe the functional purpose and structural elements of the system for tracking changes in the cryptocurrency exchange rate to make a decision on its purchase/sale. The information system is written in the PyCharm integrated development environment in Python. The article presents the development technology of the system under consideration and shows a practical example of its work on the process of monitoring the bitcoin cryptocurrency. In the future, this system can be improved with additional functionality and a more flexible interface #CSOC1120.

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References

  1. Akyildirim, E., Cepni, O., Corbet, S., et al.: Forecasting mid-price movement of Bitcoin futures using machine learning. Ann. Oper. Res. (2021). https://doi.org/10.1007/s10479-021-04205-x

  2. Awotunde, J.B., Ogundokun, R.O., Jimoh, R.G., Misra, S., Aro, T.O.: Machine learning algorithm for cryptocurrencies price prediction. In: Misra, S., Kumar Tyagi, A. (eds.) Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities. SCI, vol. 972, pp. 421–447. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-72236-4_17

    Chapter  Google Scholar 

  3. Butsenko, E.V.: Practical application of crowdfunding as an innovative financing mechanism (by the example of the development of rural territories of the region) (in Russian) Econ. Res. 3, 2 (2014)

    Google Scholar 

  4. Butsenko, E.V.: The practice of using a network of economic and mathematical modeling of the process of investment planning. Tomsk State Univ. J. Econ. 1(33), pp. 147–158 (2016). (in Russian). https://doi.org/10.17223/19988648/33/12

  5. Carvalho, C.E., Pires, D.A., Artioli, M., Oliveira, G.C.: Cryptocurrencies: technology, initiatives of banks and central banks, and regulatory challenges. Economia e Sociedade. 30(2), 467–496 (2021). https://doi.org/10.1590/1982-3533.2021v30n2art08

    Article  Google Scholar 

  6. Chuen, D.L.K., Teo, E.: The new money: the utility of cryptocurrencies and the need for a new monetary policy. In: Kaili, E., Psarrakis, D. (eds.) Disintermediation Economics, pp. 111–172. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-65781-9_7

    Chapter  Google Scholar 

  7. Fernandes, P.M.P.: Development of a mobile application and backend for the simulated use of cryptocurrencies (Doctoral dissertation, Universidade de Coimbra) (2021)

    Google Scholar 

  8. Fokri, W.N.I.W.M.: Classification of cryptocurrency: a review of the literature. Turk. J. Comput. Math. Educ. (TURCOMAT) 12(5), 1353–1360 (2021). https://doi.org/10.17762/turcomat.v12i5.2027

    Article  Google Scholar 

  9. Parlika, R., Atmaja, P.W.: Realtime monitoring of Bitcoin prices on several Cryptocurrency markets using Web API, Telegram Bot, MySQL Database, and PHP-Cronjob. In: 6th Information Technology International Seminar (ITIS), pp. 253–257 (2020). https://doi.org/10.1109/ITIS50118.2020.9321109

  10. Parlika, R., Pratama A.: Use of the Web API as a basis for obtaining the latest data on bitcoin prices at 30 exchange places. IOP Conf. Ser.: Mater. Sci. Eng. 1125, 012035 (2021)

    Google Scholar 

  11. Patashkova, Y., Niyazbekova, S., Kerimkhulle, S., Serikova, M., Troyanskaya, M.: Dynamics of Bitcoin trading on the Binance cryptocurrency exchange. Econ. Ann.-XXI, 187 (2021)

    Google Scholar 

  12. Putri, D.E., Ilham, R.N., Sinurat, M., Lilinesia, L., Saragih, M.M.S.: Analysis of potential and risks investing in financial instruments and digital cryptocurrency assets during the Covid-19 pandemic. J. SEKURITAS (Saham Ekon. Keuangan dan Investasi) 5(1), 1–12 (2021)

    Google Scholar 

  13. Reddy, P.R.: Analysis of Bitcoin prices using deep learning techniques. Turk. J. Comput. Math. Educ. (TURCOMAT) 12(6), 23–27 (2021)

    Article  Google Scholar 

  14. Shorikov, A.F., Butsenko, E.V.: Network models for solving the problem of multicriterial adaptive optimization of investment projects control with several acceptable technologies. AIP Conference Proceedings. In: 9th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2017, p. 050013 (2017)

    Google Scholar 

  15. Sifat, I.: What Uncertainties Matter to Cryptocurrencies? SSRN. https://doi.org/10.2139/ssrn.3886238. Accessed 21 Dec 2021

  16. Treiblmaier, H.: Do cryptocurrencies really have (no) intrinsic value? Electron Markets (2021). https://doi.org/10.1007/s12525-021-00491-2

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Acknowledgments

This work was supported by the Russian Science Foundation, project no. 22-28-01868 «Development of an agent-based model of the network industrial complex in the context of digital transformation».

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Correspondence to Elena Butsenko .

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Butsenko, E. (2022). Development of Information System for Monitoring the Rate of Digital Currency for Investing. In: Silhavy, R. (eds) Artificial Intelligence Trends in Systems. CSOC 2022. Lecture Notes in Networks and Systems, vol 502. Springer, Cham. https://doi.org/10.1007/978-3-031-09076-9_17

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